Friday, August 8, 2014

Technical Training: framework, RME tools, and Malaria

I’m back at the Thies training center for an intensive two-week technical training. So far, the sessions have been jam-packed with information, resources, and practical tools. Between classes and catching up with friends, I’ve had very little time to digest and sort through it. I’d like to take some time now to break it down.

Here we go

1) Community health project framework
The tech team provided us with a review of the project framework we were introduced to during PST1. This framework is intended on helping us fulfill Peace Corps’ 3 main health sector goals by providing concrete numerical objectives paired with carefully defined indicators. We are told to “start with the end in mind” when planning projects; that is, we must always design projects that will directly fulfill the objectives and overall goals.

The three main goals of community health:
Goal 1-Communities will improve their ability to prevent and treat malaria
Goal 2-Communities will adopt behaviors and practices that contribute to overall maternal and infant health
Goal 3-Community members will adopt water and sanitation hygiene practices and behaviors resulting in improved health

An example of an objective for the 1st goal:
-By the end of 2018, 97, 840 community members will increase their access to malaria prevention goods and services and will adopt appropriate malaria prevention and treatment seeking behaviors.

Each objective is
·      accompanied by a list of projects that will enable volunteers to collectively move towards fulfilling that objective. For example: trainings, workshops, and distribution of insecticide-treated bed nets…

·      accompanied by a number of output indicators, which enable volunteers to measure the scope of their impact. For example, a volunteer might record the number of insecticide-treated bed nets purchased by or delivered to her community.

·      accompanied by a number of outcome indicators; the data yielded will bring PCVs that much closer to reaching the objective. For example, a volunteer might record the number of people who slept under an insecticide-treated bed nets last night.

I think the project framework is exciting for several reasons.

1) The indicators used are standard indicators, which means that NGOs and governments the world over are using the same indicators to measure progress. They give Peace Corps and its work credibility as an international actor in improving community health.
2) The framework—its goals, objectives, and indicators—hold Peace Corps Senegal and its volunteers accountable for the work they do. We want to know whether we are effective, whether we are actually making a SMART (Specific, Measurable, Attainable, Reachable, and Time-bound) difference.
3) It can serve as a guide and tool for volunteers designing new projects.

Projects are designed as follows:

Inputs-->Activities-->Outputs-->Outcomes-->Impacts

Concrete example: by teaching mothers how to cook nutritious meals for their children, we will be working towards achieving objective 2.2: “By the end of 2018, 1440 women will adopt at least one infant and young child feeding practices resulting in improved nutritional status”.

A well-fed pair in village 


Say we want to teach mothers how to make cereamine, a nutritionally dense porridge, for their infants and young children.

·      Inputs include time, people, materials
ex: counterpart, chairs, mats, ingredients for nutritious meal cooking demonstration, mothers and their infants
·      Activities
ex: training on how to make cereamine, a nutritionally dense porridge
·      Outputs
ex: number of women receiving the training on how to make the porridge
·      Outcomes
ex: number of women who can demonstrate the ability to make the porridge

It’s good to note the difference between outputs and outcomes; just because 20 women attended the training, doesn’t necessarily mean that they will be making the porridge on a regular basis. I, for one, used to conflate the two.

2) Recording, Monitoring, and Evaluation Tools
           
We had a couple of great session on the importance of taking thorough surveys before initiating any project in order to assess community need, strengths, and weaknesses. For instance, you don’t want to put a great amount of time and resources into teaching your village women how to make cereamine if there’s no malnutrition in your area.

Designing and conducting a survey:

·      Think about your objectives
-what kind of information do you want to gather
-remember data must be relevant to the project framework
-quantitative or qualitative data?
-practice/behavior is best assessed through observation and qualitative data collection

·      Choose your demographic characteristic
-employment status, gender, ethnic/language group, age, sex…?

·      Plan, plan, plan
-how (interviews, observation)?
-who (sample type, work partners)?
             Set a deadline and a schedule!

·      Write out your survey questions and translate your survey questions
-get help from a language instructor as needed
-test out your questions on someone first, to make sure they are culturally appropriate and to make sure they make sense

·      Record your data
-medium (excel sheet, pre-drawn sheets)?

·      Control for quality
-are participants’ answers influenced by [your counterpart’s presence, for example]?
-do your participants understand the questions?
-is the order of the questions influencing answers?
-will people be more responsive to indirect questions?
-observe and use your judgment

·      Construct an action plan based on answers
-what does my community know/not know?
-where can I make an impact?

Once I get back to village, I’d like to start designing and conducting a series of surveys. I’m not sure where to start, though. Malaria or WASH?

3) Malaria

Fun facts:
-Severe malaria can sometimes cause an infected person’s eyes to turn yellow.

-Many people get malaria at the end of the rainy season—in November or October—because they stop sleeping under their nets: “no more rains, no more mosquitoes”. Wrong.

-People who don’t sleep under their nets every night have many reasons for not doing so. One of those reasons: “nets don’t fit the room well, or the shape isn’t good” (according to a survey by Networks).

-Pregnant women are more vulnerable to Malaria, due to changes in their immune system. Apparently, the placenta is also a prime hiding spot for parasites, since it’s so rich in nutrients and oxygen. This is all bad new for both the woman and her fetus.

We had a particularly interesting session with a 5th (!) year volunteer in the south, who has been working on applied malaria projects. He is deeply involved in bridging the gap between Senegalese health services and his sick community members. The bottom line: the burden of illness is unequal in Senegal; opportunities for seeking out and acquiring health services are not equal either.

“Invisible cases” often slip through the system. Sometimes, people are too far away from their nearest health structure, and don’t seek out treatment at all. They may get better on their own, or not. Sometimes, their lack of confidence in the health system discourages them from going: they doubt that the medication will be available, or they have poor rapport with health care providers. In my own experience, I notice that my ICP tends to take on a very patronizing and dismissive attitude when interacting with his patients.

“Lost cases” are also frequent. These are patients with malaria who do make it to a health structure, but whose diagnosis cannot be confirmed. Senegal is often subject to medical stock-outs or breaks. Sometimes, RDT (Rapid Diagnosis Tests) are unavailable. Instead, they are diagnosed with diarrhea or respiratory illnesses, which have overlapping symptoms with malaria.

So: can we actually know the frequency and burden of malaria?

As this gap between resources and people narrows, the recorded incidence of malaria may very well increase. This is tricky: it does not necessarily mean we’re not making progress in preventing new malaria cases; in fact, the actual prevalence of malaria cases may very well stay the same or even decrease.


Numbers are always stickier than we think.

More to come...



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